Katherine Gallagher
- Radiology, Nuclear Medicine and Imaging top 5%
- Surgery
- Artificial Intelligence top 10%
- Pathology and Forensic Medicine
- Oncology
- Co-authors
- David D. B. BatesElizabeth J. SuttonElizabeth A. MorrisB BlochLyndsay N. HarrisDonna PlechaNiha BeigPrateek Prasanna
- Topics
- Radiomics and Machine Learning in Medical Imaging (5 papers)Breast Lesions and Carcinomas (5 papers)MRI in cancer diagnosis (4 papers)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Katherine Gallagher
14 papers receiving 533 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Radiology, Nuclear Medicine and Imaging 353
- Surgery 122
- Artificial Intelligence 99
- Pathology and Forensic Medicine 80
- Oncology 70
Countries citing papers authored by Katherine Gallagher
This map shows the geographic impact of Katherine Gallagher's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Katherine Gallagher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katherine Gallagher more than expected).
Fields of papers citing papers by Katherine Gallagher
This network shows the impact of papers produced by Katherine Gallagher. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Katherine Gallagher. The network helps show where Katherine Gallagher may publish in the future.
Co-authorship network of co-authors of Katherine Gallagher
This figure shows the co-authorship network connecting the top 25 collaborators of Katherine Gallagher. A scholar is included among the top collaborators of Katherine Gallagher based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Katherine Gallagher. Katherine Gallagher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 84 | |
| 3 | 52 | |
| 4 | 6 | |
| 5 | Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy forHER2 (ERBB2)–Positive Breast Cancerbreakdown → | 235 |
| 6 | 30 | |
| 7 | 4 | |
| 8 | 31 | |
| 9 | 14 | |
| 10 | 17 | |
| 11 | 13 | |
| 12 | 26 | |
| 13 | 3 | |
| 14 | 7 |
About Katherine Gallagher
Katherine Gallagher is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Pharmacy, having authored 14 papers that have together received 539 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Breast Lesions and Carcinomas (5 papers) and MRI in cancer diagnosis (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (353 citations), Pathology and Forensic Medicine (80 citations) and Cancer Research (64 citations). Katherine Gallagher has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include David D. B. Bates, Elizabeth J. Sutton, Elizabeth A. Morris, B Bloch, Lyndsay N. Harris, Donna Plecha, Niha Beig, Prateek Prasanna, Hannah Gilmore and Nathaniel Braman. Their work appears in journals such as Radiology, Radiographics and Journal of Magnetic Resonance Imaging.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.